Cross-Cultural Validation of the York Measure of Quality of Intensive Behavioral Intervention
Bibliographic record
Abstract
Early intensive behavioral intervention (EIBI) is widely applied in young children with autism spectrum disorder. Little research has addressed the significance of adherence to EIBI practices for treatment outcomes. The York Measure of Quality of Intensive Behavioral Intervention (YMQI) was designed to assess EIBI quality delivery in Ontario, Canada. The objective of this study was to examine the cross-cultural validity of the YMQI in a clinical Swedish community sample of 30 boys and four girls with autism aged 2.5 to 6 years. Internal consistency was alpha = .87 for the full scale YMQI. Interrater reliability among three raters on 97 video-recorded therapy sequences was .71 (intraclass correlation coefficient [ICC]), and intrarater reliability of two raters re-scoring 15 sequences after 6 months was ICC = .87. The convergent validity of the YMQI with EIBI expert ratings was r = .49. Findings endorse the psychometric properties of the YMQI and its usability outside of Anglo-Saxon countries.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".